Paper Type

Complete

Abstract

Organizations operating in turbulent environments must continuously sense, seize, and reconfigure to sustain resilience. Yet it remains unclear how artificial intelligence (AI) capability reshapes these dynamic capabilities and whether its effects on resilience are stage-differentiated. This study examines how AI capability influences IT-enabled dynamic capabilities and, through them, multistage organizational resilience. Drawing on dynamic capabilities theory and survey data from 424 U.S.-based managers analyzed using partial least squares structural equation modeling, we test a sequential model linking AI capability to sensing, seizing, and reconfiguring, and subsequently to anticipation, coping, and adaptation. Results support a sequential dynamic capability chain in which AI strengthens sensing, sensing enables seizing, and seizing enables reconfiguring. Sensing primarily supports anticipation while reconfiguring supports adaptation. Seizing does not significantly influence coping, suggesting that operational continuity relies on a different organizational logic rooted in preparedness infrastructure rather than dynamic opportunity routines.

Paper Number

1564

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Aug 15th, 12:00 AM

How AI Transforms IT-Enabled Dynamic Capabilities to Strengthen Organizational Resilience

Organizations operating in turbulent environments must continuously sense, seize, and reconfigure to sustain resilience. Yet it remains unclear how artificial intelligence (AI) capability reshapes these dynamic capabilities and whether its effects on resilience are stage-differentiated. This study examines how AI capability influences IT-enabled dynamic capabilities and, through them, multistage organizational resilience. Drawing on dynamic capabilities theory and survey data from 424 U.S.-based managers analyzed using partial least squares structural equation modeling, we test a sequential model linking AI capability to sensing, seizing, and reconfiguring, and subsequently to anticipation, coping, and adaptation. Results support a sequential dynamic capability chain in which AI strengthens sensing, sensing enables seizing, and seizing enables reconfiguring. Sensing primarily supports anticipation while reconfiguring supports adaptation. Seizing does not significantly influence coping, suggesting that operational continuity relies on a different organizational logic rooted in preparedness infrastructure rather than dynamic opportunity routines.

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